Effective approaches to achieve food safety and security can prevent catastrophic situations.
Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily …

Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

Large-scale crop yield estimation is, in part, made possible due to the availability of remote
sensing data allowing for the continuous monitoring of crops throughout their growth cycle …

Drought is one of the significant abiotic stresses threatening crop production worldwide.
Soybean is a major legume crop with immense economic significance, but its production is …

The ever-changing global environment currently includes an increasing ambient
temperature that can be a devastating stress for organisms. Plants, being sessile, are …

Abstract Machine learning (ML) has become an important technology for the development of
prediction models for crop yield. Predictive modeling using ML is rapidly growing as …

Field-scale crop yield prediction is critical to site-specific field management, which has been
facilitated by recent studies fusing unmanned aerial vehicles (UAVs) based multimodal data …

Maize (Zea mays L.) is one of the most consumed grains in the world. Within the context of
continuous climate change and the reduced availability of arable land, it is urgent to breed …

Soybean (Glycine max L.) is one of the most important legume crops that provide high
protein contents compared to any other crop. Drought stress is one of the most devastating …

Estimating the aboveground biomass (AGB) of rice using remotely sensed data is critical for
reflecting growth status, predicting grain yield, and indicating carbon stocks in …